Study 3 Data Preparation and Codebook

library(tidyverse)

## Warning: package 'tidyverse' was built under R version 4.0.5

## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --

## v ggplot2 3.3.3     v purrr   0.3.4
## v tibble  3.1.0     v dplyr   1.0.5
## v tidyr   1.1.2     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0

## Warning: package 'tibble' was built under R version 4.0.5

## Warning: package 'dplyr' was built under R version 4.0.5

## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(haven) # to read data from .sav format from Qualtrics
library(codebook) # to generate codebook
library(here)

## here() starts at C:/Users/Nami Sunami/Documents/git/dissertation-private

# Codebook
knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = FALSE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Load Data

Download the .sav (SPSS) file from Qualtrics and load it with haven().

# Load data
s3_sav <- "Study3.sav"
s3_df <- haven::read_sav(here("data", s3_sav))

Data Preparation

Drop Unneded Variables and Unfinished Responses

Dropping variables such as IP Address, and panel metadata from Qualtrics. In addition, I’m dropping the location information since they are not used in my study. I’m also excluding entries that had a blank condition values as unfinished responses.

s3_df <- s3_df %>% 
  select(-IPAddress,
         -(RecipientLastName:RecipientEmail),
         -ExternalReference,
         -LocationLatitude,
         -LocationLongitude)
# Drop Unfinished Responses (Responses without conditions are unfinished )
s3_df <- s3_df %>% 
  filter(parasocial != "")

Scale Variables

Scaled variables were - On-The-Fly Measure of Social World (OTF_Social_World_1:OTF_Social_World_4) - No reversed items - Player Character Identification (PC_Identification_1:PC_Identification_6) - No reversed items

# On-the-fly Measure of Social World ----------------------------------------
s3_df$OTF_Social_World <- s3_df %>% select(OTF_Social_World_1:OTF_Social_World_4) %>% aggregate_and_document_scale()

# Player Character Identifiaction ----------------------------------------
s3_df$PC_Identification <- s3_df %>% select(PC_Identification_1:PC_Identification_6) %>% aggregate_and_document_scale()

# Enjoyment  ----------------------------------------
enjoyment_rev_items <- paste0("enjoyment_", c(3)) # Reversed Item
s3_df <- s3_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(enjoyment_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(enjoyment_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s3_df$Enjoyment <- s3_df %>% select(starts_with("Enjoyment_")) %>%
  aggregate_and_document_scale()

Variables for Gender, Race, Parasocial Relationship Groups, Attention Check

# Gender ---------------------------------------------------------------
s3_df <- s3_df %>% 
  mutate(across(starts_with("Gender"),
                to_factor)) %>%
  unite("Gender_Identity", Gender_1:Gender_7_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Gender_Identity = gsub('^\\s& |\\s& $', '', Gender_Identity)) %>%
  # Gropu into Female, Male, and Non-FM
  mutate(Gender_Identity_3GP = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male",
                                         TRUE ~ "Other"))
## Effect Coding Gender
s3_df <- s3_df %>% 
  mutate(Gender_Identity_2GP_EC = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male"),
         Gender_Identity_2GP_EC = case_when(Gender_Identity == "Female" ~ .5,
                                         Gender_Identity == "Male" ~ -.5))

# Race ------------------------------------------------------------
s3_df <- s3_df %>% 
  mutate(across(starts_with("Race_"),
                to_factor)) %>%
  unite("Race", Race_1:Race_6_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Race = gsub('^\\s& |\\s& $', '', Race)) %>%
  # Grouping in to White 
  mutate(Race_6GP = case_when(Race == "Native American" ~ "Native American",
                              Race == "Black/African-American" ~ "Black/African-American",
                              Race == "White" ~ "White",
                              Race == "Asian" ~ "Asian",
                              Race == "Pacific Islander" ~ "Pacific Islander",
                              TRUE ~ "Other/Multiracial"))

# Parasocial Relationships Manipulation Check ------------------------------
# Create variable for parasocial values 
parasocial_labels <- c("No Interaction with NPC",
                       "No Parasocial Relationship with NPC",
                       "Formed Parasocial Relationship with NPC")

# Add the 
s3_df <- s3_df %>% 
  mutate(parasocial_MC_group = 
           case_when(Interact_with_NPC == 2 ~ 1,
                     Interact_with_NPC == 1 & IOS == 0 ~ 2,
                     Interact_with_NPC == 1 & IOS > 0 ~ 3),
         parasocial_MC_group = ordered(parasocial_MC_group,
                                       levels = c(1, 2, 3),
                                       labels = parasocial_labels))

# Attention Check ---------------------------------------------------------------
s3_df <- s3_df %>% 
  # Rejection Attention Check
  mutate(attention_rejection_correct = 
           case_when(Attention_Rejection == 1 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Parasocial Relationship Attention Check
  mutate(attention_parasocial_correct = 
           case_when(parasocial == "High" & Attention_Sashu == 1 ~ TRUE,
                     parasocial == "Low" & Attention_Sashu == 3 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Social World Attention Check
  mutate(attention_social_world_correct = 
           case_when(social_world == "High" & Attention_Story == 1 ~ TRUE,
                     social_world == "Low" & Attention_Story == 3 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # All Attention Checks
  mutate(attention_all_correct = 
           case_when(attention_rejection_correct == TRUE &
                       attention_parasocial_correct == TRUE &
                       attention_social_world_correct == TRUE ~ TRUE,
                     TRUE ~ FALSE))

Rename Condition Labels

s3_df <- s3_df %>%
  mutate(parasocial = case_when(parasocial == "High" ~ "High Parasocial",
                                parasocial == "Low" ~ "Low Parasocial"),
         social_world = case_when(social_world == "High" ~ "High Social World",
                                  social_world == "Low" ~ "Low Social World"))

Effect Coding Parasocial and Social World

s3_df <- s3_df %>%
  mutate(parasocial_EC = case_when(parasocial == "High Parasocial" ~ .5,
                                parasocial == "Low Parasocial" ~ -.5),
         social_world_EC = case_when(social_world == "High Social World" ~ .5,
                                  social_world == "Low Social World" ~ -.5))

Effect Coding Gender

s3_df <- s3_df %>%
  mutate(parasocial_EC = case_when(parasocial == "High Parasocial" ~ .5,
                                parasocial == "Low Parasocial" ~ -.5),
         social_world_EC = case_when(social_world == "High Social World" ~ .5,
                                  social_world == "Low Social World" ~ -.5))

Export Public Dataset

I exported the data to a cleaned public dataset for analysis. Since the dataset will be public, and the answers to the open-ended responses could potentially be personally identifiable, I dropped the answers to the following open-ended responses. - Rejection essay - Participants’ responses about the purpose of the study - Participants’ responses to share anything about the study I exported the dataset in both .rds and .csv formats. (Study3_public.rds, Study3_public.csv)

# Drop write-in responses for the public dataset
s3_public <- s3_df %>% select(-Rejection_Essay,
                              -Study_Purpose,
                              -Share_Anything)
# Save as .rds and .csv 
write_rds(s3_public, here("data_public", "Study3_public.rds"))
write_csv(s3_public, here("data_public", "Study3_public.csv"))

Codebook

I use codebook to add metadata.

# Study Name 
metadata(s3_df)$name <- "Nami Sunami's Dissertation - Study 3"
# Study Description
metadata(s3_df)$description <- paste0("

### Download link
[Open Science Framework](https://osf.io/XXXXX)

### Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS. 

### A list of important abbreviations, prefixes and suffixes:

* PSI = Parasocial Interaction 
* PC = Player Character
")

# Study Identifier 
metadata(s3_df)$identifier <- "https://osf.io/jvk3u/"

# Date published 
metadata(s3_df)$datePublished <- "2015-10-07"

# Creator information 
metadata(s3_df)$creator <- list(
  "@type" = "Person",
  givenName = "Nami", familyName = "Sunami",
  email = "naoyuki.sunami@gmail.com", 
  affiliation = list("@type" = "Organization",
                     name = "University of Delaware, USA"))

# Citation Information
metadata(s3_df)$citation <- "XXXXXXXXX"
# URL
metadata(s3_df)$url <- "https://osf.io/XXXXXXXX/"
# Temporal Coverage
metadata(s3_df)$temporalCoverage <- "2021"
# Spacial Coverage 
metadata(s3_df)$spatialCoverage <- "Delaware, United States
# Distribution" 
metadata(s3_df)$distribution = list(
  list("@type" = "DataDownload",
       "requiresSubscription" = "http://schema.org/True",
       "encodingFormat" = "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
       contentUrl = "https://osf.io/XXXX/download")
)

codebook(s3_df)

## Loading required namespace: GPArotation

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

Metadata

Description

Dataset name: Nami Sunami’s Dissertation - Study 3

Download link

Open Science Framework

Preprocessing

All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS.

A list of important abbreviations, prefixes and suffixes:

• PSI = Parasocial Interaction
• PC = Player Character

Metadata for search engines

• Temporal Coverage: 2021

• Spatial Coverage: Delaware, United States # Distribution

• Citation: XXXXXXXXX

• URL: https://osf.io/XXXXXXXX/

• Identifier: https://osf.io/jvk3u/

• Date published: 2015-10-07

• Creator:

name	value
@type	Person
givenName	Nami
familyName	Sunami
email	naoyuki.sunami@gmail.com
affiliation	Organization , University of Delaware, USA

x DataDownload x http://schema.org/True x https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml x https://osf.io/XXXX/download

x StartDate EndDate Status Progress Duration_in_seconds Finished RecordedDate ResponseId DistributionChannel UserLanguage Q_RecaptchaScore Age Race Race_1 Race_2 Race_3 Race_4 Race_5 Race_6 Race_6_TEXT Hispanic Relationship Relationship_7_TEXT Gender_Identity Gender_1 Gender_2 Gender_8 Gender_6 Gender_7 Gender_7_TEXT Sexori Sexori_6_TEXT T1_Heart_1 T1_Valence_1 T1_Arousal_1 T1_Dominance_1 Rejection_Essay Rejection_Timer_First_Click Rejection_Timer_Last_Click Rejection_Timer_Page_Submit Rejection_Timer_Click_Count RPG_Timer_First_Click RPG_Timer_Last_Click RPG_Timer_Page_Submit RPG_Timer_Click_Count Game_Code_HH Game_Code_HL Game_Code_LH Game_Code_LL T2_Heart_1 T2_Valence_1 T2_Arousal_1 T2_Dominance_1 Interact_with_NPC Most_Close Most_Close_6_TEXT IOS Single_Immersion OTF_Social_World_1 OTF_Social_World_2 OTF_Social_World_3 OTF_Social_World_4 enjoyment_1 enjoyment_2 enjoyment_3R enjoyment_4 enjoyment_5 PC_Identification_1 PC_Identification_2 PC_Identification_3 PC_Identification_4 PC_Identification_5 PC_Identification_6 Attention_Rejection Attention_Sashu Attention_Story Study_Purpose Share_Anything Raffle_PC Raffle_Enemies id t_consent_submit t_generalInstructions_submit t_age_submit t_race_submit t_hispanic_submit t_relationship_submit t_gender_submit t_sexori_submit t_T1Heart_submit t_T1Valence_submit t_T1Arousal_submit t_T1Dominance_submit t_rejectionEssayIntro_submit t_rejectionEssay_submit t_RPGinst_submit t_RPGplay_submit t_T2Heart_submit t_T2Valence_submit t_T2Arousal_submit t_T2Dominance_submit t_intractCharacters_submit t_closestCharacter_submit t_IOS_submit t_PSI_submit t_singleImmersion_submit t_narrativeEngagement_submit t_otfSocialWorld_submit t_enjoyment_submit t_PCidentification_submit t_almostDone_submit t_attentionRejection_submit t_attentionSashu_submit t_attentionStory_submit t_studyPurpose_submit t_shareAnything_submit t_raffle_submit attention_rejection_correct attention_parasocial_correct attention_social_world_correct attention_all_correct parasocial social_world debug mobile raffle_all_correct OTF_Social_World PC_Identification Enjoyment Gender_Identity_3GP Gender_Identity_2GP_EC Race_6GP parasocial_MC_group parasocial_EC social_world_EC

#Variables

StartDate

Start Date

Distribution

## 407  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
StartDate	Start Date	POSIXct	0	1	407	2021-03-12 02:21:01	2021-03-19 12:47:07	2021-04-11 23:42:00	DATETIME20	0

EndDate

End Date

Distribution

## 408  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
EndDate	End Date	POSIXct	0	1	408	2021-03-12 03:16:15	2021-03-19 14:43:12	2021-04-12 00:29:31	DATETIME20	0

Status

Response Type

Distribution

Distribution of values for Status

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Status	Response Type	haven_labelled	0	1	0	0	0	0	0	12	<U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
IP Address	0
Survey Preview	1
Survey Test	2
Imported	4
Spam	8
Survey Preview Spam	9
Imported Spam	12
Offline	16
Offline Survey Preview	17
EX	32
EX Spam	40
EX Offline	48

Progress

Progress

Distribution

Distribution of values for Progress

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Progress	Progress	numeric	0	1	6	100	100	94.29412	19.07716	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0

Duration_in_seconds

Duration (in seconds)

Distribution

Distribution of values for Duration_in_seconds

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Duration_in_seconds	Duration (in seconds)	numeric	0	1	18	2300	609490	19431.47	73204.15	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Finished

Finished

Distribution

Distribution of values for Finished

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Finished	Finished	haven_labelled	0	1	0	1	1	0.9166667	0.2767247	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0

Value labels

Response choices

name	value
False	0
True	1

RecordedDate

Recorded Date

Distribution

## 408  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max	format.spss	display_width
RecordedDate	Recorded Date	POSIXct	0	1	408	2021-03-12 03:16:16	2021-03-19 20:56:44	2021-04-12 00:29:32	DATETIME20	0

ResponseId

Response ID

Distribution

Distribution of values for ResponseId

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
ResponseId	Response ID	character	0	1	408	0	17	17	0	A50	0

DistributionChannel

Distribution Channel

Distribution

Distribution of values for DistributionChannel

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
DistributionChannel	Distribution Channel	character	0	1	1	0	9	9	0	A255	0

UserLanguage

User Language

Distribution

Distribution of values for UserLanguage

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
UserLanguage	User Language	character	0	1	1	0	2	2	0	A255	0

Q_RecaptchaScore

Q_RecaptchaScore

Distribution

Distribution of values for Q_RecaptchaScore

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Q_RecaptchaScore	Q_RecaptchaScore	numeric	2	0.995098	0.4	1	1	0.9748768	0.0580282	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0

Age

Age

Distribution

Distribution of values for Age

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Age	Age	numeric	2	0.995098	18	19	63	19.57143	4.407465	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Race

Distribution

Distribution of values for Race

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Race	character	0	1	22	2	0	88	0	NA

Race_1

Race - Selected Choice Native American

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_1	Race - Selected Choice Native American	factor	FALSE	1. Native American	407	0.002451	1	Nat: 1

Race_2

Race - Selected Choice Black/African-American

Distribution

Distribution of values for Race_2

378 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_2	Race - Selected Choice Black/African-American	factor	FALSE	1. Black/African-American	378	0.0735294	1	Bla: 30

Race_3

Race - Selected Choice White

Distribution

Distribution of values for Race_3

93 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_3	Race - Selected Choice White	factor	FALSE	1. White	93	0.7720588	1	Whi: 315

Race_4

Race - Selected Choice Asian

Distribution

Distribution of values for Race_4

343 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_4	Race - Selected Choice Asian	factor	FALSE	1. Asian	343	0.1593137	1	Asi: 65

Race_5

Race - Selected Choice Pacific Islander

Distribution

Distribution of values for Race_5

406 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_5	Race - Selected Choice Pacific Islander	factor	FALSE	1. Pacific Islander	406	0.004902	1	Pac: 2

Race_6

Race - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Race_6

394 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_6	Race - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	394	0.0343137	1	Pre: 14

Race_6_TEXT

Race - Prefer to self-describe - Text

Distribution

## 12  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Race_6_TEXT	Race - Prefer to self-describe - Text	factor	FALSE	1. , 2. Ashkenazi Jewish, 3. Chinese, 4. Hispanic, 5. Hispanic/Latino, 6. Jordanian, 7. Latina, 8. Latino, 9. Latino/Latinx/Hispanic, 10. Middle eastern, 11. Middle Eastern, 12. My parents are from Central America but I was born in the U.S.	0	1	12	emp: 394, His: 2, Lat: 2, Mid: 2

Hispanic

Hispanic

Distribution

Distribution of values for Hispanic

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Hispanic	Hispanic	haven_labelled	2	0.995098	1	2	2	1.91133	0.2846175	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0

Value labels

Response choices

name	value
Yes	1
No	2

Relationship

Relationship Status - Selected Choice

Distribution

Distribution of values for Relationship

2 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Relationship	Relationship Status - Selected Choice	haven_labelled	2	0.995098	1	2	7	2.559113	1.2473	7	<U+2583><U+2587><U+2581><U+2586><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
Single—not interested in dating	1
Single—interested in dating	2
Dating Casually	3
Dating Exclusively	4
Engaged	5
Married	6
Other (specify):	7

Relationship_7_TEXT

Relationship Status - Other (specify): - Text

Distribution

Distribution of values for Relationship_7_TEXT

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Relationship_7_TEXT	Relationship Status - Other (specify): - Text	character	0	1	1	408	0	0	0	A255	0

Gender_Identity

Distribution

Distribution of values for Gender_Identity

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Gender_Identity	character	0	1	7	2	0	34	0	NA

Gender_1

Gender - Selected Choice Male

Distribution

Distribution of values for Gender_1

271 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_1	Gender - Selected Choice Male	factor	FALSE	1. Male	271	0.3357843	1	Mal: 137

Gender_2

Gender - Selected Choice Female

Distribution

Distribution of values for Gender_2

145 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_2	Gender - Selected Choice Female	factor	FALSE	1. Female	145	0.6446078	1	Fem: 263

Gender_8

Gender - Selected Choice Nonbinary

Distribution

Distribution of values for Gender_8

403 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_8	Gender - Selected Choice Nonbinary	factor	FALSE	1. Nonbinary	403	0.0122549	1	Non: 5

Gender_6

Gender - Selected Choice Unsure

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_6	Gender - Selected Choice Unsure	factor	FALSE	1. Unsure	407	0.002451	1	Uns: 1

Gender_7

Gender - Selected Choice Prefer to self-describe

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_7	Gender - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	407	0.002451	1	Pre: 1

Gender_7_TEXT

Gender - Prefer to self-describe - Text

Distribution

Distribution of values for Gender_7_TEXT

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
Gender_7_TEXT	Gender - Prefer to self-describe - Text	factor	FALSE	1. , 2. Demigirl	0	1	2	emp: 407, Dem: 1

Sexori

Sexual Orientation - Selected Choice

Distribution

Distribution of values for Sexori

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Sexori	Sexual Orientation - Selected Choice	haven_labelled	3	0.9926471	1	1	9	1.446914	1.303184	7	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
Heterosexual	1
Gay/lesbian	2
Bisexual	3
Asexual	8
Pansexual	9
Unsure	5
Prefer to self-describe	6

Sexori_6_TEXT

Sexual Orientation - Prefer to self-describe - Text

Distribution

Distribution of values for Sexori_6_TEXT

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Sexori_6_TEXT	Sexual Orientation - Prefer to self-describe - Text	character	0	1	3	406	0	8	0	A255	0

T1_Heart_1

T1 Heart

Distribution

Distribution of values for T1_Heart_1

3 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Heart_1	T1 Heart	numeric	3	0.9926471	1	7	9	6.51358	1.857001	<U+2581><U+2583><U+2582><U+2587><U+2586>	F40.2	0

T1_Valence_1

T1 Valence

Distribution

Distribution of values for T1_Valence_1

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Valence_1	T1 Valence	numeric	4	0.9901961	1	6	9	6.10396	1.858275	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0

T1_Arousal_1

T1 Arousal

Distribution

Distribution of values for T1_Arousal_1

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Arousal_1	T1 Arousal	numeric	4	0.9901961	1	4	9	4.287129	1.761663	<U+2582><U+2587><U+2582><U+2585><U+2581>	F40.2	0

T1_Dominance_1

T1 Dominance

Distribution

Distribution of values for T1_Dominance_1

5 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T1_Dominance_1	T1 Dominance	numeric	5	0.9877451	1	6	9	6.059553	1.657615	<U+2581><U+2582><U+2583><U+2587><U+2583>	F40.2	0

Rejection_Essay

Write about a time you felt rejected by a close other

Distribution

Distribution of values for Rejection_Essay

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Rejection_Essay	Write about a time you felt rejected by a close other	character	0	1	402	7	0	1999	0	A255	0

Rejection_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for Rejection_Timer_First_Click

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_First_Click	Timing - First Click	numeric	7	0.9828431	0.81	37	1166	63.21828	108.6172	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for Rejection_Timer_Last_Click

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Last_Click	Timing - Last Click	numeric	7	0.9828431	2.1	181	1515	187.1937	175.3275	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for Rejection_Timer_Page_Submit

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Page_Submit	Timing - Page Submit	numeric	7	0.9828431	144	231	7966	297.2863	413.0481	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Rejection_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for Rejection_Timer_Click_Count

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
Rejection_Timer_Click_Count	Timing - Click Count	numeric	7	0.9828431	2	5	96	7.052369	8.629296	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

RPG_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for RPG_Timer_First_Click

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
RPG_Timer_First_Click	Timing - First Click	numeric	34	0.9166667	1.9	1066	4428	987.364	715.6473	<U+2587><U+2587><U+2582><U+2581><U+2581>	F40.2	0

RPG_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for RPG_Timer_Last_Click

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
RPG_Timer_Last_Click	Timing - Last Click	numeric	34	0.9166667	5.6	1443	9751	1584.341	722.1049	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

RPG_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for RPG_Timer_Page_Submit

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
RPG_Timer_Page_Submit	Timing - Page Submit	numeric	34	0.9166667	16	1452	9752	1591.77	721.935	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0

RPG_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for RPG_Timer_Click_Count

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
RPG_Timer_Click_Count	Timing - Click Count	numeric	34	0.9166667	1	2	49	3.28877	4.688933	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0

Game_Code_HH

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_HH

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Game_Code_HH	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	0	1	3	312	0	7	0	A255	0

Game_Code_HL

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_HL

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Game_Code_HL	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	0	1	2	315	0	6	0	A255	0

Game_Code_LH

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_LH

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Game_Code_LH	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	0	1	3	316	0	7	0	A255	0

Game_Code_LL

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_LL

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Game_Code_LL	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	0	1	2	315	0	6	0	A255	0

T2_Heart_1

T2 Heart

Distribution

Distribution of values for T2_Heart_1

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Heart_1	T2 Heart	numeric	34	0.9166667	1	6	9	6.200535	1.892528	<U+2581><U+2583><U+2583><U+2587><U+2586>	F40.2	0

T2_Valence_1

T2 Valence

Distribution

Distribution of values for T2_Valence_1

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Valence_1	T2 Valence	numeric	34	0.9166667	1	6	9	5.703209	2.336364	<U+2583><U+2585><U+2582><U+2587><U+2586>	F40.2	0

T2_Arousal_1

T2 Arousal

Distribution

Distribution of values for T2_Arousal_1

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Arousal_1	T2 Arousal	numeric	34	0.9166667	1	5	9	5.069519	1.978566	<U+2582><U+2586><U+2583><U+2587><U+2582>	F40.2	0

T2_Dominance_1

T2 Dominance

Distribution

Distribution of values for T2_Dominance_1

35 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	format.spss	display_width
T2_Dominance_1	T2 Dominance	numeric	35	0.9142157	1	6	9	6.235925	1.734562	<U+2581><U+2582><U+2582><U+2587><U+2585>	F40.2	0

Interact_with_NPC

Did you interact with NPCs?

Distribution

Distribution of values for Interact_with_NPC

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Interact_with_NPC	Did you interact with NPCs?	haven_labelled	34	0.9166667	1	1	2	1.187166	0.390567	2	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2582>	F40.0	0

Value labels

Response choices

name	value
Yes	1
No	2

Most_Close

Who did you feel close to? - Selected Choice

Distribution

Distribution of values for Most_Close

104 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Most_Close	Who did you feel close to? - Selected Choice	haven_labelled	104	0.745098	1	3	6	2.526316	1.486784	6	<U+2587><U+2582><U+2581><U+2586><U+2583><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
Sashu	1
Grandkid	2
Elder	3
Tenkeisei	4
Mother	5
Other (please specify)	6

Most_Close_6_TEXT

Who did you feel close to? - Other (please specify) - Text

Distribution

Distribution of values for Most_Close_6_TEXT

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Most_Close_6_TEXT	Who did you feel close to? - Other (please specify) - Text	character	0	1	16	393	0	148	0	A255	0

IOS

IOS

Distribution

Distribution of values for IOS

104 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
IOS	IOS	haven_labelled	104	0.745098	0	3	6	2.838816	1.634106	7	<U+2582><U+2586><U+2585><U+2587><U+2581><U+2586><U+2583><U+2582>	F40.0	0

Value labels

Response choices

name	value
0	0
1	1
2	2
3	3
4	4
5	5
6	6

Single_Immersion

While playing the game, I felt completely immersed.

Distribution

Distribution of values for Single_Immersion

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Single_Immersion	While playing the game, I felt completely immersed.	haven_labelled	34	0.9166667	-3	1	3	0.2994652	1.80887	7	<U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2586><U+2582>	F40.0	0

Value labels

Response choices

name	value
Strongly disagree -3	-3
-2	-2
-1	-1
0	0
1	1
2	2
Strongly agree 3	3

Attention_Rejection

What did you write in the first essay?

Distribution

Distribution of values for Attention_Rejection

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Attention_Rejection	What did you write in the first essay?	haven_labelled	34	0.9166667	1	1	2	1.034759	0.1834151	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
about a time I felt rejected	1
about a time I felt accepted	2
about my morning yesterday	3

Attention_Sashu

Who was the NPC

Distribution

Distribution of values for Attention_Sashu

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Attention_Sashu	Who was the NPC	haven_labelled	34	0.9166667	1	1	3	1.887701	0.9537332	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0

Value labels

Response choices

name	value
Sashu	1
Akiko	2
None—I did not see any non-player character who followed me throughout the game	3

Attention_Story

What was the story that best represented the game you played?

Distribution

Distribution of values for Attention_Story

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Attention_Story	What was the story that best represented the game you played?	haven_labelled	34	0.9166667	1	1	3	1.901069	0.9950812	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0

Value labels

Response choices

name	value
Higra answered the emperor’s call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end	1
Higra prepared a special dish for grandma’s birthday	2
Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end.	3

Study_Purpose

Did you wonder about the purposes?

Distribution

Distribution of values for Study_Purpose

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Study_Purpose	Did you wonder about the purposes?	character	0	1	346	53	0	485	0	A255	0

Share_Anything

Is there anything you’d like to share?

Distribution

Distribution of values for Share_Anything

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
Share_Anything	Is there anything you’d like to share?	character	0	1	219	111	0	586	0	A255	0

Raffle_PC

Who was the player character?

Distribution

Distribution of values for Raffle_PC

38 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Raffle_PC	Who was the player character?	haven_labelled	38	0.9068627	1	1	3	1.018919	0.1550205	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
Higra	1
Sashu	2
Elder	3

Raffle_Enemies

What were the names of the enemies that you were fighting against?

Distribution

Distribution of values for Raffle_Enemies

34 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
Raffle_Enemies	What were the names of the enemies that you were fighting against?	haven_labelled	34	0.9166667	1	1	3	1.02139	0.1780809	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0

Value labels

Response choices

name	value
Ekishin and Gakis	1
Dragon and Lizard	2
Finch and Elliot	3

id

id

Distribution

Distribution of values for id

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
id	id	character	0	1	394	0	5	6	0	A255	0

t_consent_submit

t_consent_submit

Distribution

Distribution of values for t_consent_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_consent_submit	t_consent_submit	character	0	1	405	4	0	24	0	A255	0

t_generalInstructions_submit

t_generalInstructions_submit

Distribution

Distribution of values for t_generalInstructions_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_generalInstructions_submit	t_generalInstructions_submit	character	0	1	408	0	24	24	0	A255	0

t_age_submit

t_age_submit

Distribution

Distribution of values for t_age_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_age_submit	t_age_submit	character	0	1	407	2	0	24	0	A255	0

t_race_submit

t_race_submit

Distribution

Distribution of values for t_race_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_race_submit	t_race_submit	character	0	1	407	2	0	24	0	A255	0

t_hispanic_submit

t_hispanic_submit

Distribution

Distribution of values for t_hispanic_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_hispanic_submit	t_hispanic_submit	character	0	1	407	2	0	24	0	A255	0

t_relationship_submit

t_relationship_submit

Distribution

Distribution of values for t_relationship_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_relationship_submit	t_relationship_submit	character	0	1	407	2	0	24	0	A255	0

t_gender_submit

t_gender_submit

Distribution

Distribution of values for t_gender_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_gender_submit	t_gender_submit	character	0	1	407	2	0	24	0	A255	0

t_sexori_submit

t_sexori_submit

Distribution

Distribution of values for t_sexori_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_sexori_submit	t_sexori_submit	character	0	1	406	3	0	24	0	A255	0

t_T1Heart_submit

t_T1Heart_submit

Distribution

Distribution of values for t_T1Heart_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Heart_submit	t_T1Heart_submit	character	0	1	406	3	0	24	0	A255	0

t_T1Valence_submit

t_T1Valence_submit

Distribution

Distribution of values for t_T1Valence_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Valence_submit	t_T1Valence_submit	character	0	1	405	4	0	24	0	A255	0

t_T1Arousal_submit

t_T1Arousal_submit

Distribution

Distribution of values for t_T1Arousal_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Arousal_submit	t_T1Arousal_submit	character	0	1	405	4	0	24	0	A255	0

t_T1Dominance_submit

t_T1Dominance_submit

Distribution

Distribution of values for t_T1Dominance_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T1Dominance_submit	t_T1Dominance_submit	character	0	1	405	4	0	24	0	A255	0

t_rejectionEssayIntro_submit

t_rejectionEssayIntro_submit

Distribution

Distribution of values for t_rejectionEssayIntro_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_rejectionEssayIntro_submit	t_rejectionEssayIntro_submit	character	0	1	403	6	0	24	0	A255	0

t_rejectionEssay_submit

t_rejectionEssay_submit

Distribution

Distribution of values for t_rejectionEssay_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_rejectionEssay_submit	t_rejectionEssay_submit	character	0	1	402	7	0	24	0	A255	0

t_RPGinst_submit

t_RPGinst_submit

Distribution

Distribution of values for t_RPGinst_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_RPGinst_submit	t_RPGinst_submit	character	0	1	388	21	0	24	0	A255	0

t_RPGplay_submit

t_RPGplay_submit

Distribution

Distribution of values for t_RPGplay_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_RPGplay_submit	t_RPGplay_submit	character	0	1	380	29	0	24	0	A255	0

t_T2Heart_submit

t_T2Heart_submit

Distribution

Distribution of values for t_T2Heart_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Heart_submit	t_T2Heart_submit	character	0	1	375	34	0	24	0	A255	0

t_T2Valence_submit

t_T2Valence_submit

Distribution

Distribution of values for t_T2Valence_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Valence_submit	t_T2Valence_submit	character	0	1	375	34	0	24	0	A255	0

t_T2Arousal_submit

t_T2Arousal_submit

Distribution

Distribution of values for t_T2Arousal_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Arousal_submit	t_T2Arousal_submit	character	0	1	375	34	0	24	0	A255	0

t_T2Dominance_submit

t_T2Dominance_submit

Distribution

Distribution of values for t_T2Dominance_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_T2Dominance_submit	t_T2Dominance_submit	character	0	1	375	34	0	24	0	A255	0

t_intractCharacters_submit

t_intractCharacters_submit

Distribution

Distribution of values for t_intractCharacters_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_intractCharacters_submit	t_intractCharacters_submit	character	0	1	375	34	0	24	0	A255	0

t_closestCharacter_submit

t_closestCharacter_submit

Distribution

Distribution of values for t_closestCharacter_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_closestCharacter_submit	t_closestCharacter_submit	character	0	1	306	103	0	24	0	A255	0

t_IOS_submit

t_IOS_submit

Distribution

Distribution of values for t_IOS_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_IOS_submit	t_IOS_submit	character	0	1	305	104	0	24	0	A255	0

t_PSI_submit

t_PSI_submit

Distribution

Distribution of values for t_PSI_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_PSI_submit	t_PSI_submit	character	0	1	1	408	0	0	0	A255	0

t_singleImmersion_submit

t_singleImmersion_submit

Distribution

Distribution of values for t_singleImmersion_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_singleImmersion_submit	t_singleImmersion_submit	character	0	1	375	34	0	24	0	A255	0

t_narrativeEngagement_submit

t_narrativeEngagement_submit

Distribution

Distribution of values for t_narrativeEngagement_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_narrativeEngagement_submit	t_narrativeEngagement_submit	character	0	1	1	408	0	0	0	A255	0

t_otfSocialWorld_submit

t_otfSocialWorld_submit

Distribution

Distribution of values for t_otfSocialWorld_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_otfSocialWorld_submit	t_otfSocialWorld_submit	character	0	1	375	34	0	24	0	A255	0

t_enjoyment_submit

t_enjoyment_submit

Distribution

Distribution of values for t_enjoyment_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_enjoyment_submit	t_enjoyment_submit	character	0	1	373	36	0	24	0	A255	0

t_PCidentification_submit

t_PCidentification_submit

Distribution

Distribution of values for t_PCidentification_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_PCidentification_submit	t_PCidentification_submit	character	0	1	375	34	0	24	0	A255	0

t_almostDone_submit

t_almostDone_submit

Distribution

Distribution of values for t_almostDone_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_almostDone_submit	t_almostDone_submit	character	0	1	375	34	0	24	0	A255	0

t_attentionRejection_submit

t_attentionRejection_submit

Distribution

Distribution of values for t_attentionRejection_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_attentionRejection_submit	t_attentionRejection_submit	character	0	1	375	34	0	24	0	A255	0

t_attentionSashu_submit

t_attentionSashu_submit

Distribution

Distribution of values for t_attentionSashu_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_attentionSashu_submit	t_attentionSashu_submit	character	0	1	375	34	0	24	0	A255	0

t_attentionStory_submit

t_attentionStory_submit

Distribution

Distribution of values for t_attentionStory_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_attentionStory_submit	t_attentionStory_submit	character	0	1	375	34	0	24	0	A255	0

t_studyPurpose_submit

t_studyPurpose_submit

Distribution

Distribution of values for t_studyPurpose_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_studyPurpose_submit	t_studyPurpose_submit	character	0	1	375	34	0	24	0	A255	0

t_shareAnything_submit

t_shareAnything_submit

Distribution

Distribution of values for t_shareAnything_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_shareAnything_submit	t_shareAnything_submit	character	0	1	375	34	0	24	0	A255	0

t_raffle_submit

t_raffle_submit

Distribution

Distribution of values for t_raffle_submit

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
t_raffle_submit	t_raffle_submit	character	0	1	1	408	0	0	0	A255	0

attention_rejection_correct

Distribution

Distribution of values for attention_rejection_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_rejection_correct	logical	0	1	TRU: 361, FAL: 47	0.8848039	NA

attention_parasocial_correct

Distribution

Distribution of values for attention_parasocial_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_parasocial_correct	logical	0	1	TRU: 324, FAL: 84	0.7941176	NA

attention_social_world_correct

Distribution

Distribution of values for attention_social_world_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_social_world_correct	logical	0	1	TRU: 329, FAL: 79	0.8063725	NA

attention_all_correct

Distribution

Distribution of values for attention_all_correct

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
attention_all_correct	logical	0	1	TRU: 285, FAL: 123	0.6985294	NA

parasocial

Distribution

Distribution of values for parasocial

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
parasocial	character	0	1	2	0	14	15	0	NA

social_world

Distribution

Distribution of values for social_world

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
social_world	character	0	1	2	0	16	17	0	NA

debug

debug

Distribution

Distribution of values for debug

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
debug	debug	character	0	1	1	408	0	0	0	A255	0

mobile

mobile

Distribution

Distribution of values for mobile

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
mobile	mobile	character	0	1	1	0	2	2	0	A255	0

raffle_all_correct

raffle_all_correct

Distribution

Distribution of values for raffle_all_correct

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	format.spss	display_width
raffle_all_correct	raffle_all_correct	character	0	1	3	34	0	5	0	A255	0

Scale: OTF_Social_World

Overview

Reliability: .

Missing: 43.

Likert plot of scale OTF_Social_World items

Distribution of scale OTF_Social_World

Reliability details

## No viewer found, probably documenting or testing

---

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3 & OTF_Social_World_4
Observations:	365
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.88
Omega (hierarchical):	0.84
Revelle’s Omega (total):	0.88
Greatest Lower Bound (GLB):	0.87
Coefficient H:	0.89
Coefficient Alpha:	0.86

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.842, 0.551, 0.357 & 0.249

Factor analysis (reproducing only shared variance)

	ML1
OTF_Social_World_1	0.866
OTF_Social_World_2	0.854
OTF_Social_World_3	0.783
OTF_Social_World_4	0.625

Component analysis (reproducing full covariance matrix)

	PC1
OTF_Social_World_1	0.882
OTF_Social_World_2	0.877
OTF_Social_World_3	0.856
OTF_Social_World_4	0.750

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
OTF_Social_World_1	-0.0767	0	3.0765	1.754	2	0.0918	-3	-2	1	3	-0.1741	-0.9552	0.0849	365	0	365
OTF_Social_World_2	-0.5178	0	3.168	1.7799	3	0.0932	-3	-2	1	3	0.0896	-1.0878	0.0973	365	0	365
OTF_Social_World_3	0.3178	1	3.0526	1.7472	2	0.0915	-3	-1	2	3	-0.4046	-0.7338	0.0726	365	0	365
OTF_Social_World_4	-0.3945	0	3.3494	1.8301	3	0.0958	-3	-2	1	3	0.1412	-1.0594	0.0836	365	0	365

Scattermatrix

Scatterplot

---

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
OTF_Social_World_1	OTF Social World - The video game presented stories that I immersed myself in	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	35	0.9142157	-3	0	3	-0.0536193	1.745137	7	<U+2583><U+2583><U+2585><U+2586><U+2581><U+2587><U+2585><U+2582>	F40.0	0
OTF_Social_World_2	OTF Social World - The video game presented another social world where I felt like I belonged	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	37	0.9093137	-3	0	3	-0.4959569	1.778812	7	<U+2587><U+2586><U+2586><U+2587><U+2581><U+2587><U+2585><U+2582>	F40.0	0
OTF_Social_World_3	OTF Social World - The video game had a social narrative that told an engaging story	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	42	0.8970588	-3	1	3	0.3224044	1.746979	7	<U+2582><U+2582><U+2583><U+2583><U+2581><U+2587><U+2583><U+2582>	F40.0	0
OTF_Social_World_4	OTF Social World - I found myself getting “lost” in the game’s story	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	42	0.8970588	-3	0	3	-0.3989071	1.829559	7	<U+2587><U+2587><U+2587><U+2587><U+2581><U+2587><U+2585><U+2583>	F40.0	0

Scale: PC_Identification

Overview

Reliability: .

Missing: 68.

Likert plot of scale PC_Identification items

Distribution of scale PC_Identification

Reliability details

## No viewer found, probably documenting or testing

---

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	PC_Identification_1, PC_Identification_2, PC_Identification_3, PC_Identification_4, PC_Identification_5 & PC_Identification_6
Observations:	340
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.97
Omega (hierarchical):	0.91
Revelle’s Omega (total):	0.97
Greatest Lower Bound (GLB):	0.97
Coefficient H:	0.95
Coefficient Alpha:	0.95

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.813, 0.353, 0.3, 0.212, 0.184 & 0.139

Factor analysis (reproducing only shared variance)

	ML1
PC_Identification_1	0.835
PC_Identification_2	0.855
PC_Identification_3	0.899
PC_Identification_4	0.858
PC_Identification_5	0.915
PC_Identification_6	0.876

Component analysis (reproducing full covariance matrix)

	PC1
PC_Identification_1	0.869
PC_Identification_2	0.887
PC_Identification_3	0.916
PC_Identification_4	0.882
PC_Identification_5	0.923
PC_Identification_6	0.895

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
PC_Identification_1	-0.7647	-1	1.207	1.0986	2	0.0596	-2	-2	0	2	0.4492	-0.7636	0.1338	340	0	340
PC_Identification_2	-0.9529	-1	1.042	1.0208	2	0.0554	-2	-2	0	2	0.6754	-0.3286	0.1529	340	0	340
PC_Identification_3	-0.7588	-1	1.2514	1.1187	2	0.0607	-2	-2	0	2	0.5051	-0.8316	0.1559	340	0	340
PC_Identification_4	-0.9294	-1	1.1749	1.0839	2	0.0588	-2	-2	0	2	0.7538	-0.3456	0.1529	340	0	340
PC_Identification_5	-0.8176	-1	1.1761	1.0845	2	0.0588	-2	-2	0	2	0.5393	-0.6715	0.1485	340	0	340
PC_Identification_6	-0.9441	-1	1.0736	1.0361	2	0.0562	-2	-2	0	2	0.7521	-0.132	0.1603	340	0	340

Scattermatrix

Scatterplot

---

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
PC_Identification_1	PCI - My character was like me in many ways	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	34	0.9166667	-2	-1	2	-0.7566845	1.106716	5	<U+2587><U+2586><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_2	PCI - My character resembled me	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	57	0.8602941	-2	-1	2	-0.9572650	1.020307	5	<U+2587><U+2586><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581>	F40.0	0
PC_Identification_3	PCI - I identified with my character	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	62	0.8480392	-2	-1	2	-0.7658960	1.116461	5	<U+2587><U+2587><U+2581><U+2585><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_4	PCI - My character was an extension of myself	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	62	0.8480392	-2	-1	2	-0.9306358	1.082583	5	<U+2587><U+2586><U+2581><U+2583><U+2581><U+2582><U+2581><U+2581>	F40.0	0
PC_Identification_5	PCI - My character was similar to me	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	61	0.8504902	-2	-1	2	-0.8184438	1.085322	5	<U+2587><U+2587><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_6	PCI - I resembled my character	haven_labelled	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	66	0.8382353	-2	-1	2	-0.9473684	1.034667	5	<U+2587><U+2587><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581>	F40.0	0

Scale: Enjoyment

Overview

Reliability: .

Missing: 38.

Likert plot of scale Enjoyment items

Distribution of scale Enjoyment

Reliability details

## No viewer found, probably documenting or testing

---

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	enjoyment_1, enjoyment_2, enjoyment_3R, enjoyment_4 & enjoyment_5
Observations:	370
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.95
Omega (hierarchical):	0.86
Revelle’s Omega (total):	0.95
Greatest Lower Bound (GLB):	0.96
Coefficient H:	0.97
Coefficient Alpha:	0.93

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.909, 0.427, 0.422, 0.179 & 0.063

Factor analysis (reproducing only shared variance)

	ML1
enjoyment_1	0.959
enjoyment_2	0.969
enjoyment_3R	0.700
enjoyment_4	0.780
enjoyment_5	0.768

Component analysis (reproducing full covariance matrix)

	PC1
enjoyment_1	0.917
enjoyment_2	0.925
enjoyment_3R	0.804
enjoyment_4	0.889
enjoyment_5	0.880

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
enjoyment_1	0.3649	1	3.6362	1.9069	3	0.0991	-3	-1	2	3	-0.3897	-0.9529	0.0824	370	0	370
enjoyment_2	0.3757	1	3.6878	1.9204	3	0.0998	-3	-1	2	3	-0.3918	-0.962	0.0838	370	0	370
enjoyment_3R	-0.3946	-1	3.3723	1.8364	3	0.0955	-3	-2	1	3	0.2164	-1.0465	0.0851	370	0	370
enjoyment_4	-0.8757	-1	2.8951	1.7015	2	0.0885	-3	-3	1	3	0.3224	-0.867	0.1014	370	0	370
enjoyment_5	-1.1108	-1	3.2208	1.7946	3	0.0933	-3	-3	1	3	0.5858	-0.7749	0.0824	370	0	370

Scattermatrix

Scatterplot

---

## No viewer found, probably documenting or testing

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist	format.spss	display_width
enjoyment_1	Enjoyment - I think the game was fun.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	37	0.9093137	-3	1	3	0.3719677	1.909201	7	<U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2585><U+2585>	F40.0	0
enjoyment_2	Enjoyment - I enjoyed playing the game.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	38	0.9068627	-3	1	3	0.3756757	1.920352	7	<U+2585><U+2583><U+2583><U+2585><U+2581><U+2587><U+2586><U+2585>	F40.0	0
enjoyment_3R	Enjoyment - I felt bored while playing the game.	haven_labelled	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	38	0.9068627	-3	-1	3	-0.3945946	1.836390	7	<U+2586><U+2587><U+2587><U+2586><U+2581><U+2586><U+2585><U+2583>	F40.0	0
enjoyment_4	Enjoyment - I am likely to recommend this game to others.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	38	0.9068627	-3	-1	3	-0.8756757	1.701491	7	<U+2587><U+2585><U+2586><U+2586><U+2581><U+2585><U+2582><U+2581>	F40.0	0
enjoyment_5	Enjoyment - If given the chance, I want to play this game again.	haven_labelled	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	37	0.9093137	-3	-1	3	-1.0997305	1.804881	7	<U+2587><U+2583><U+2583><U+2583><U+2581><U+2582><U+2582><U+2581>	F40.0	0

Gender_Identity_3GP

Distribution

Distribution of values for Gender_Identity_3GP

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Gender_Identity_3GP	character	0	1	3	0	4	6	0	NA

Gender_Identity_2GP_EC

Distribution

Distribution of values for Gender_Identity_2GP_EC

9 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Gender_Identity_2GP_EC	numeric	9	0.9779412	-0.5	0.5	0.5	0.1591479	0.4745908	<U+2585><U+2581><U+2581><U+2581><U+2587>	NA

Race_6GP

Distribution

Distribution of values for Race_6GP

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Race_6GP	character	0	1	4	0	5	22	0	NA

parasocial_MC_group

Distribution

Distribution of values for parasocial_MC_group

34 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
parasocial_MC_group	factor	TRUE	1. No Interaction with NPC, 2. No Parasocial Relationship with NPC, 3. Formed Parasocial Relationship with NPC	34	0.9166667	3	For: 284, No : 70, No : 20	NA

parasocial_EC

Distribution

Distribution of values for parasocial_EC

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
parasocial_EC	numeric	0	1	-0.5	0.5	0.5	0.002451	0.5006079	<U+2587><U+2581><U+2581><U+2581><U+2587>	NA

social_world_EC

Distribution

Distribution of values for social_world_EC

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
social_world_EC	numeric	0	1	-0.5	0	0.5	0	0.5006139	<U+2587><U+2581><U+2581><U+2581><U+2587>	NA

Missingness report

Codebook table

name	label	data_type	ordered	value_labels	scale_item_names	n_missing	complete_rate	n_unique	empty	top_counts	count	min	median	max	mean	sd	whitespace	n_value_labels	hist	format.spss	display_width
StartDate	Start Date	POSIXct	NA	NA	NA	0	1.0000000	407	NA	NA	NA	2021-03-12 02:21:01	2021-03-19 12:47:07	2021-04-11 23:42:00	NA	NA	NA	NA	NA	DATETIME20	0
EndDate	End Date	POSIXct	NA	NA	NA	0	1.0000000	408	NA	NA	NA	2021-03-12 03:16:15	2021-03-19 14:43:12	2021-04-12 00:29:31	NA	NA	NA	NA	NA	DATETIME20	0
Status	Response Type	haven_labelled	NA	0. IP Address, 1. Survey Preview, 2. Survey Test, 4. Imported, 8. Spam, 9. Survey Preview Spam, 12. Imported Spam, 16. Offline, 17. Offline Survey Preview, 32. EX, 40. EX Spam, 48. EX Offline	NA	0	1.0000000	NA	NA	NA	NA	0	0	0	0.0000000	0.000000e+00	NA	12	<U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Progress	Progress	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	6.00	100.0	1.0e+02	94.2941176	1.907716e+01	NA	NA	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0
Duration_in_seconds	Duration (in seconds)	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	18.00	2300.0	6.1e+05	19431.4730392	7.320415e+04	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Finished	Finished	haven_labelled	NA	0. False, 1. True	NA	0	1.0000000	NA	NA	NA	NA	0	1	1	0.9166667	2.767247e-01	NA	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0
RecordedDate	Recorded Date	POSIXct	NA	NA	NA	0	1.0000000	408	NA	NA	NA	2021-03-12 03:16:16	2021-03-19 20:56:44	2021-04-12 00:29:32	NA	NA	NA	NA	NA	DATETIME20	0
ResponseId	Response ID	character	NA	NA	NA	0	1.0000000	408	0	NA	NA	17	NA	17	NA	NA	0	NA	NA	A50	0
DistributionChannel	Distribution Channel	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	9	NA	9	NA	NA	0	NA	NA	A255	0
UserLanguage	User Language	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	2	NA	2	NA	NA	0	NA	NA	A255	0
Q_RecaptchaScore	Q_RecaptchaScore	numeric	NA	NA	NA	2	0.9950980	NA	NA	NA	NA	0.40	1.0	1.0e+00	0.9748768	5.802820e-02	NA	NA	<U+2581><U+2581><U+2581><U+2581><U+2587>	F40.2	0
Age	Age	numeric	NA	NA	NA	2	0.9950980	NA	NA	NA	NA	18.00	19.0	6.3e+01	19.5714286	4.407465e+00	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Race	NA	character	NA	NA	NA	0	1.0000000	22	2	NA	NA	0	NA	88	NA	NA	0	NA	NA	NA	NA
Race_1	Race - Selected Choice Native American	factor	FALSE	1. Native American	NA	407	0.0024510	1	NA	Nat: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_2	Race - Selected Choice Black/African-American	factor	FALSE	1. Black/African-American	NA	378	0.0735294	1	NA	Bla: 30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_3	Race - Selected Choice White	factor	FALSE	1. White	NA	93	0.7720588	1	NA	Whi: 315	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_4	Race - Selected Choice Asian	factor	FALSE	1. Asian	NA	343	0.1593137	1	NA	Asi: 65	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_5	Race - Selected Choice Pacific Islander	factor	FALSE	1. Pacific Islander	NA	406	0.0049020	1	NA	Pac: 2	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_6	Race - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	NA	394	0.0343137	1	NA	Pre: 14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Race_6_TEXT	Race - Prefer to self-describe - Text	factor	FALSE	1. , 2. Ashkenazi Jewish, 3. Chinese, 4. Hispanic, 5. Hispanic/Latino, 6. Jordanian, 7. Latina, 8. Latino, 9. Latino/Latinx/Hispanic, 10. Middle eastern, 11. Middle Eastern, 12. My parents are from Central America but I was born in the U.S.	NA	0	1.0000000	12	NA	emp: 394, His: 2, Lat: 2, Mid: 2	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Hispanic	Hispanic	haven_labelled	NA	1. Yes, 2. No	NA	2	0.9950980	NA	NA	NA	NA	1	2	2	1.9113300	2.846175e-01	NA	2	<U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>	F40.0	0
Relationship	Relationship Status - Selected Choice	haven_labelled	NA	1. Single—not interested in dating, 2. Single—interested in dating, 3. Dating Casually, 4. Dating Exclusively, 5. Engaged, 6. Married, 7. Other (specify):	NA	2	0.9950980	NA	NA	NA	NA	1	2	7	2.5591133	1.247300e+00	NA	7	<U+2583><U+2587><U+2581><U+2586><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Relationship_7_TEXT	Relationship Status - Other (specify): - Text	character	NA	NA	NA	0	1.0000000	1	408	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
Gender_Identity	NA	character	NA	NA	NA	0	1.0000000	7	2	NA	NA	0	NA	34	NA	NA	0	NA	NA	NA	NA
Gender_1	Gender - Selected Choice Male	factor	FALSE	1. Male	NA	271	0.3357843	1	NA	Mal: 137	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_2	Gender - Selected Choice Female	factor	FALSE	1. Female	NA	145	0.6446078	1	NA	Fem: 263	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_8	Gender - Selected Choice Nonbinary	factor	FALSE	1. Nonbinary	NA	403	0.0122549	1	NA	Non: 5	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_6	Gender - Selected Choice Unsure	factor	FALSE	1. Unsure	NA	407	0.0024510	1	NA	Uns: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_7	Gender - Selected Choice Prefer to self-describe	factor	FALSE	1. Prefer to self-describe	NA	407	0.0024510	1	NA	Pre: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Gender_7_TEXT	Gender - Prefer to self-describe - Text	factor	FALSE	1. , 2. Demigirl	NA	0	1.0000000	2	NA	emp: 407, Dem: 1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Sexori	Sexual Orientation - Selected Choice	haven_labelled	NA	1. Heterosexual, 2. Gay/lesbian, 3. Bisexual, 8. Asexual, 9. Pansexual, 5. Unsure, 6. Prefer to self-describe	NA	3	0.9926471	NA	NA	NA	NA	1	1	9	1.4469136	1.303184e+00	NA	7	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Sexori_6_TEXT	Sexual Orientation - Prefer to self-describe - Text	character	NA	NA	NA	0	1.0000000	3	406	NA	NA	0	NA	8	NA	NA	0	NA	NA	A255	0
T1_Heart_1	T1 Heart	numeric	NA	NA	NA	3	0.9926471	NA	NA	NA	NA	1.00	7.0	9.0e+00	6.5135802	1.857001e+00	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2586>	F40.2	0
T1_Valence_1	T1 Valence	numeric	NA	NA	NA	4	0.9901961	NA	NA	NA	NA	1.00	6.0	9.0e+00	6.1039604	1.858275e+00	NA	NA	<U+2581><U+2583><U+2582><U+2587><U+2585>	F40.2	0
T1_Arousal_1	T1 Arousal	numeric	NA	NA	NA	4	0.9901961	NA	NA	NA	NA	1.00	4.0	9.0e+00	4.2871287	1.761663e+00	NA	NA	<U+2582><U+2587><U+2582><U+2585><U+2581>	F40.2	0
T1_Dominance_1	T1 Dominance	numeric	NA	NA	NA	5	0.9877451	NA	NA	NA	NA	1.00	6.0	9.0e+00	6.0595533	1.657615e+00	NA	NA	<U+2581><U+2582><U+2583><U+2587><U+2583>	F40.2	0
Rejection_Essay	Write about a time you felt rejected by a close other	character	NA	NA	NA	0	1.0000000	402	7	NA	NA	0	NA	1999	NA	NA	0	NA	NA	A255	0
Rejection_Timer_First_Click	Timing - First Click	numeric	NA	NA	NA	7	0.9828431	NA	NA	NA	NA	0.81	37.4	1.2e+03	63.2182768	1.086172e+02	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Last_Click	Timing - Last Click	numeric	NA	NA	NA	7	0.9828431	NA	NA	NA	NA	2.12	180.6	1.5e+03	187.1937307	1.753275e+02	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Page_Submit	Timing - Page Submit	numeric	NA	NA	NA	7	0.9828431	NA	NA	NA	NA	144.44	231.4	8.0e+03	297.2862544	4.130481e+02	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Rejection_Timer_Click_Count	Timing - Click Count	numeric	NA	NA	NA	7	0.9828431	NA	NA	NA	NA	2.00	5.0	9.6e+01	7.0523691	8.629296e+00	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
RPG_Timer_First_Click	Timing - First Click	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	1.94	1066.4	4.4e+03	987.3640107	7.156473e+02	NA	NA	<U+2587><U+2587><U+2582><U+2581><U+2581>	F40.2	0
RPG_Timer_Last_Click	Timing - Last Click	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	5.57	1443.2	9.8e+03	1584.3406150	7.221049e+02	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
RPG_Timer_Page_Submit	Timing - Page Submit	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	16.25	1452.4	9.8e+03	1591.7701658	7.219350e+02	NA	NA	<U+2587><U+2582><U+2581><U+2581><U+2581>	F40.2	0
RPG_Timer_Click_Count	Timing - Click Count	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	1.00	2.0	4.9e+01	3.2887701	4.688933e+00	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2581>	F40.2	0
Game_Code_HH	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	NA	NA	NA	0	1.0000000	3	312	NA	NA	0	NA	7	NA	NA	0	NA	NA	A255	0
Game_Code_HL	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	NA	NA	NA	0	1.0000000	2	315	NA	NA	0	NA	6	NA	NA	0	NA	NA	A255	0
Game_Code_LH	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	NA	NA	NA	0	1.0000000	3	316	NA	NA	0	NA	7	NA	NA	0	NA	NA	A255	0
Game_Code_LL	After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.	character	NA	NA	NA	0	1.0000000	2	315	NA	NA	0	NA	6	NA	NA	0	NA	NA	A255	0
T2_Heart_1	T2 Heart	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	1.00	6.0	9.0e+00	6.2005348	1.892528e+00	NA	NA	<U+2581><U+2583><U+2583><U+2587><U+2586>	F40.2	0
T2_Valence_1	T2 Valence	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	1.00	6.0	9.0e+00	5.7032086	2.336364e+00	NA	NA	<U+2583><U+2585><U+2582><U+2587><U+2586>	F40.2	0
T2_Arousal_1	T2 Arousal	numeric	NA	NA	NA	34	0.9166667	NA	NA	NA	NA	1.00	5.0	9.0e+00	5.0695187	1.978566e+00	NA	NA	<U+2582><U+2586><U+2583><U+2587><U+2582>	F40.2	0
T2_Dominance_1	T2 Dominance	numeric	NA	NA	NA	35	0.9142157	NA	NA	NA	NA	1.00	6.0	9.0e+00	6.2359249	1.734562e+00	NA	NA	<U+2581><U+2582><U+2582><U+2587><U+2585>	F40.2	0
Interact_with_NPC	Did you interact with NPCs?	haven_labelled	NA	1. Yes, 2. No	NA	34	0.9166667	NA	NA	NA	NA	1	1	2	1.1871658	3.905670e-01	NA	2	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2582>	F40.0	0
Most_Close	Who did you feel close to? - Selected Choice	haven_labelled	NA	1. Sashu, 2. Grandkid, 3. Elder, 4. Tenkeisei, 5. Mother, 6. Other (please specify)	NA	104	0.7450980	NA	NA	NA	NA	1	3	6	2.5263158	1.486784e+00	NA	6	<U+2587><U+2582><U+2581><U+2586><U+2583><U+2581><U+2581><U+2581>	F40.0	0
Most_Close_6_TEXT	Who did you feel close to? - Other (please specify) - Text	character	NA	NA	NA	0	1.0000000	16	393	NA	NA	0	NA	148	NA	NA	0	NA	NA	A255	0
IOS	IOS	haven_labelled	NA	0. 0, 1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6	NA	104	0.7450980	NA	NA	NA	NA	0	3	6	2.8388158	1.634106e+00	NA	7	<U+2582><U+2586><U+2585><U+2587><U+2581><U+2586><U+2583><U+2582>	F40.0	0
Single_Immersion	While playing the game, I felt completely immersed.	haven_labelled	NA	-3. Strongly disagree -3, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. Strongly agree 3	NA	34	0.9166667	NA	NA	NA	NA	-3	1	3	0.2994652	1.808870e+00	NA	7	<U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2586><U+2582>	F40.0	0
OTF_Social_World_1	OTF Social World - The video game presented stories that I immersed myself in	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	35	0.9142157	NA	NA	NA	NA	-3	0	3	-0.0536193	1.745137e+00	NA	7	<U+2583><U+2583><U+2585><U+2586><U+2581><U+2587><U+2585><U+2582>	F40.0	0
OTF_Social_World_2	OTF Social World - The video game presented another social world where I felt like I belonged	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	37	0.9093137	NA	NA	NA	NA	-3	0	3	-0.4959569	1.778812e+00	NA	7	<U+2587><U+2586><U+2586><U+2587><U+2581><U+2587><U+2585><U+2582>	F40.0	0
OTF_Social_World_3	OTF Social World - The video game had a social narrative that told an engaging story	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	42	0.8970588	NA	NA	NA	NA	-3	1	3	0.3224044	1.746979e+00	NA	7	<U+2582><U+2582><U+2583><U+2583><U+2581><U+2587><U+2583><U+2582>	F40.0	0
OTF_Social_World_4	OTF Social World - I found myself getting “lost” in the game’s story	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	42	0.8970588	NA	NA	NA	NA	-3	0	3	-0.3989071	1.829559e+00	NA	7	<U+2587><U+2587><U+2587><U+2587><U+2581><U+2587><U+2585><U+2583>	F40.0	0
enjoyment_1	Enjoyment - I think the game was fun.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	37	0.9093137	NA	NA	NA	NA	-3	1	3	0.3719677	1.909201e+00	NA	7	<U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2585><U+2585>	F40.0	0
enjoyment_2	Enjoyment - I enjoyed playing the game.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	38	0.9068627	NA	NA	NA	NA	-3	1	3	0.3756757	1.920352e+00	NA	7	<U+2585><U+2583><U+2583><U+2585><U+2581><U+2587><U+2586><U+2585>	F40.0	0
enjoyment_3R	Enjoyment - I felt bored while playing the game.	haven_labelled	NA	3. -3 Strongly disagree, 2. -2, 1. -1, 0. 0, -1. 1, -2. 2, -3. 3 Strongly agree	NA	38	0.9068627	NA	NA	NA	NA	-3	-1	3	-0.3945946	1.836390e+00	NA	7	<U+2586><U+2587><U+2587><U+2586><U+2581><U+2586><U+2585><U+2583>	F40.0	0
enjoyment_4	Enjoyment - I am likely to recommend this game to others.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	38	0.9068627	NA	NA	NA	NA	-3	-1	3	-0.8756757	1.701491e+00	NA	7	<U+2587><U+2585><U+2586><U+2586><U+2581><U+2585><U+2582><U+2581>	F40.0	0
enjoyment_5	Enjoyment - If given the chance, I want to play this game again.	haven_labelled	NA	-3. -3 Strongly disagree, -2. -2, -1. -1, 0. 0, 1. 1, 2. 2, 3. 3 Strongly agree	NA	37	0.9093137	NA	NA	NA	NA	-3	-1	3	-1.0997305	1.804881e+00	NA	7	<U+2587><U+2583><U+2583><U+2583><U+2581><U+2582><U+2582><U+2581>	F40.0	0
PC_Identification_1	PCI - My character was like me in many ways	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	34	0.9166667	NA	NA	NA	NA	-2	-1	2	-0.7566845	1.106716e+00	NA	5	<U+2587><U+2586><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_2	PCI - My character resembled me	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	57	0.8602941	NA	NA	NA	NA	-2	-1	2	-0.9572650	1.020307e+00	NA	5	<U+2587><U+2586><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581>	F40.0	0
PC_Identification_3	PCI - I identified with my character	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	62	0.8480392	NA	NA	NA	NA	-2	-1	2	-0.7658960	1.116461e+00	NA	5	<U+2587><U+2587><U+2581><U+2585><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_4	PCI - My character was an extension of myself	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	62	0.8480392	NA	NA	NA	NA	-2	-1	2	-0.9306358	1.082583e+00	NA	5	<U+2587><U+2586><U+2581><U+2583><U+2581><U+2582><U+2581><U+2581>	F40.0	0
PC_Identification_5	PCI - My character was similar to me	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	61	0.8504902	NA	NA	NA	NA	-2	-1	2	-0.8184438	1.085322e+00	NA	5	<U+2587><U+2587><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581>	F40.0	0
PC_Identification_6	PCI - I resembled my character	haven_labelled	NA	-2. -2 Strongly disagree, -1. -1, 0. 0, 1. 1, 2. 2 Strongly agree	NA	66	0.8382353	NA	NA	NA	NA	-2	-1	2	-0.9473684	1.034667e+00	NA	5	<U+2587><U+2587><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581>	F40.0	0
Attention_Rejection	What did you write in the first essay?	haven_labelled	NA	1. about a time I felt rejected, 2. about a time I felt accepted, 3. about my morning yesterday	NA	34	0.9166667	NA	NA	NA	NA	1	1	2	1.0347594	1.834151e-01	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Attention_Sashu	Who was the NPC	haven_labelled	NA	1. Sashu, 2. Akiko, 3. None—I did not see any non-player character who followed me throughout the game	NA	34	0.9166667	NA	NA	NA	NA	1	1	3	1.8877005	9.537332e-01	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0
Attention_Story	What was the story that best represented the game you played?	haven_labelled	NA	1. Higra answered the emperor’s call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end, 2. Higra prepared a special dish for grandma’s birthday, 3. Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end.	NA	34	0.9166667	NA	NA	NA	NA	1	1	3	1.9010695	9.950812e-01	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586>	F40.0	0
Study_Purpose	Did you wonder about the purposes?	character	NA	NA	NA	0	1.0000000	346	53	NA	NA	0	NA	485	NA	NA	0	NA	NA	A255	0
Share_Anything	Is there anything you’d like to share?	character	NA	NA	NA	0	1.0000000	219	111	NA	NA	0	NA	586	NA	NA	0	NA	NA	A255	0
Raffle_PC	Who was the player character?	haven_labelled	NA	1. Higra, 2. Sashu, 3. Elder	NA	38	0.9068627	NA	NA	NA	NA	1	1	3	1.0189189	1.550205e-01	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
Raffle_Enemies	What were the names of the enemies that you were fighting against?	haven_labelled	NA	1. Ekishin and Gakis, 2. Dragon and Lizard, 3. Finch and Elliot	NA	34	0.9166667	NA	NA	NA	NA	1	1	3	1.0213904	1.780809e-01	NA	3	<U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581>	F40.0	0
id	id	character	NA	NA	NA	0	1.0000000	394	0	NA	NA	5	NA	6	NA	NA	0	NA	NA	A255	0
t_consent_submit	t_consent_submit	character	NA	NA	NA	0	1.0000000	405	4	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_generalInstructions_submit	t_generalInstructions_submit	character	NA	NA	NA	0	1.0000000	408	0	NA	NA	24	NA	24	NA	NA	0	NA	NA	A255	0
t_age_submit	t_age_submit	character	NA	NA	NA	0	1.0000000	407	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_race_submit	t_race_submit	character	NA	NA	NA	0	1.0000000	407	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_hispanic_submit	t_hispanic_submit	character	NA	NA	NA	0	1.0000000	407	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_relationship_submit	t_relationship_submit	character	NA	NA	NA	0	1.0000000	407	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_gender_submit	t_gender_submit	character	NA	NA	NA	0	1.0000000	407	2	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_sexori_submit	t_sexori_submit	character	NA	NA	NA	0	1.0000000	406	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Heart_submit	t_T1Heart_submit	character	NA	NA	NA	0	1.0000000	406	3	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Valence_submit	t_T1Valence_submit	character	NA	NA	NA	0	1.0000000	405	4	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Arousal_submit	t_T1Arousal_submit	character	NA	NA	NA	0	1.0000000	405	4	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T1Dominance_submit	t_T1Dominance_submit	character	NA	NA	NA	0	1.0000000	405	4	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_rejectionEssayIntro_submit	t_rejectionEssayIntro_submit	character	NA	NA	NA	0	1.0000000	403	6	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_rejectionEssay_submit	t_rejectionEssay_submit	character	NA	NA	NA	0	1.0000000	402	7	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_RPGinst_submit	t_RPGinst_submit	character	NA	NA	NA	0	1.0000000	388	21	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_RPGplay_submit	t_RPGplay_submit	character	NA	NA	NA	0	1.0000000	380	29	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Heart_submit	t_T2Heart_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Valence_submit	t_T2Valence_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Arousal_submit	t_T2Arousal_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_T2Dominance_submit	t_T2Dominance_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_intractCharacters_submit	t_intractCharacters_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_closestCharacter_submit	t_closestCharacter_submit	character	NA	NA	NA	0	1.0000000	306	103	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_IOS_submit	t_IOS_submit	character	NA	NA	NA	0	1.0000000	305	104	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_PSI_submit	t_PSI_submit	character	NA	NA	NA	0	1.0000000	1	408	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
t_singleImmersion_submit	t_singleImmersion_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_narrativeEngagement_submit	t_narrativeEngagement_submit	character	NA	NA	NA	0	1.0000000	1	408	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
t_otfSocialWorld_submit	t_otfSocialWorld_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_enjoyment_submit	t_enjoyment_submit	character	NA	NA	NA	0	1.0000000	373	36	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_PCidentification_submit	t_PCidentification_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_almostDone_submit	t_almostDone_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_attentionRejection_submit	t_attentionRejection_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_attentionSashu_submit	t_attentionSashu_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_attentionStory_submit	t_attentionStory_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_studyPurpose_submit	t_studyPurpose_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_shareAnything_submit	t_shareAnything_submit	character	NA	NA	NA	0	1.0000000	375	34	NA	NA	0	NA	24	NA	NA	0	NA	NA	A255	0
t_raffle_submit	t_raffle_submit	character	NA	NA	NA	0	1.0000000	1	408	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
attention_rejection_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 361, FAL: 47	NA	NA	NA	0.8848039	NA	NA	NA	NA	NA	NA
attention_parasocial_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 324, FAL: 84	NA	NA	NA	0.7941176	NA	NA	NA	NA	NA	NA
attention_social_world_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 329, FAL: 79	NA	NA	NA	0.8063725	NA	NA	NA	NA	NA	NA
attention_all_correct	NA	logical	NA	NA	NA	0	1.0000000	NA	NA	NA	TRU: 285, FAL: 123	NA	NA	NA	0.6985294	NA	NA	NA	NA	NA	NA
parasocial	NA	character	NA	NA	NA	0	1.0000000	2	0	NA	NA	14	NA	15	NA	NA	0	NA	NA	NA	NA
social_world	NA	character	NA	NA	NA	0	1.0000000	2	0	NA	NA	16	NA	17	NA	NA	0	NA	NA	NA	NA
debug	debug	character	NA	NA	NA	0	1.0000000	1	408	NA	NA	0	NA	0	NA	NA	0	NA	NA	A255	0
mobile	mobile	character	NA	NA	NA	0	1.0000000	1	0	NA	NA	2	NA	2	NA	NA	0	NA	NA	A255	0
raffle_all_correct	raffle_all_correct	character	NA	NA	NA	0	1.0000000	3	34	NA	NA	0	NA	5	NA	NA	0	NA	NA	A255	0
OTF_Social_World	4 OTF_Social_World items aggregated by rowMeans	numeric	NA	NA	OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3, OTF_Social_World_4	43	0.8946078	NA	NA	NA	NA	-3.00	0.0	3.0e+00	-0.1678082	1.494986e+00	NA	NA	<U+2585><U+2586><U+2587><U+2586><U+2582>	NA	NA
PC_Identification	6 PC_Identification items aggregated by rowMeans	numeric	NA	NA	PC_Identification_1, PC_Identification_2, PC_Identification_3, PC_Identification_4, PC_Identification_5, PC_Identification_6	68	0.8333333	NA	NA	NA	NA	-2.00	-1.0	2.0e+00	-0.8612745	9.616305e-01	NA	NA	<U+2587><U+2586><U+2585><U+2582><U+2581>	NA	NA
Enjoyment	5 enjoyment items aggregated by rowMeans	numeric	NA	NA	enjoyment_1, enjoyment_2, enjoyment_3R, enjoyment_4, enjoyment_5	38	0.9068627	NA	NA	NA	NA	-3.00	-0.4	3.0e+00	-0.3281081	1.619100e+00	NA	NA	<U+2587><U+2586><U+2587><U+2586><U+2583>	NA	NA
Gender_Identity_3GP	NA	character	NA	NA	NA	0	1.0000000	3	0	NA	NA	4	NA	6	NA	NA	0	NA	NA	NA	NA
Gender_Identity_2GP_EC	NA	numeric	NA	NA	NA	9	0.9779412	NA	NA	NA	NA	-0.50	0.5	5.0e-01	0.1591479	4.745908e-01	NA	NA	<U+2585><U+2581><U+2581><U+2581><U+2587>	NA	NA
Race_6GP	NA	character	NA	NA	NA	0	1.0000000	4	0	NA	NA	5	NA	22	NA	NA	0	NA	NA	NA	NA
parasocial_MC_group	NA	factor	TRUE	1. No Interaction with NPC, 2. No Parasocial Relationship with NPC, 3. Formed Parasocial Relationship with NPC	NA	34	0.9166667	3	NA	For: 284, No : 70, No : 20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
parasocial_EC	NA	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	-0.50	0.5	5.0e-01	0.0024510	5.006079e-01	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2587>	NA	NA
social_world_EC	NA	numeric	NA	NA	NA	0	1.0000000	NA	NA	NA	NA	-0.50	0.0	5.0e-01	0.0000000	5.006139e-01	NA	NA	<U+2587><U+2581><U+2581><U+2581><U+2587>	NA	NA

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Nami Sunami's Dissertation - Study 3",
  "description": "\n\n### Download link\n[Open Science Framework](https://osf.io/XXXXX)\n\n### Preprocessing\nAll rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.\n\nVariables are labeled in SPSS. \n\n### A list of important abbreviations, prefixes and suffixes:\n\n* PSI = Parasocial Interaction \n* PC = Player Character\n\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://osf.io/jvk3u/",
  "datePublished": "2015-10-07",
  "creator": {
    "@type": "Person",
    "givenName": "Nami",
    "familyName": "Sunami",
    "email": "naoyuki.sunami@gmail.com",
    "affiliation": {
      "@type": "Organization",
      "name": "University of Delaware, USA"
    }
  },
  "citation": "XXXXXXXXX",
  "url": "https://osf.io/XXXXXXXX/",
  "temporalCoverage": "2021",
  "spatialCoverage": "Delaware, United States\n# Distribution",
  "distribution": [
    {
      "@type": "DataDownload",
      "requiresSubscription": "http://schema.org/True",
      "encodingFormat": "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
      "contentUrl": "https://osf.io/XXXX/download"
    }
  ],
  "keywords": ["StartDate", "EndDate", "Status", "Progress", "Duration__in_seconds_", "Finished", "RecordedDate", "ResponseId", "DistributionChannel", "UserLanguage", "Q_RecaptchaScore", "Age", "Race", "Race_1", "Race_2", "Race_3", "Race_4", "Race_5", "Race_6", "Race_6_TEXT", "Hispanic", "Relationship", "Relationship_7_TEXT", "Gender_Identity", "Gender_1", "Gender_2", "Gender_8", "Gender_6", "Gender_7", "Gender_7_TEXT", "Sexori", "Sexori_6_TEXT", "T1_Heart_1", "T1_Valence_1", "T1_Arousal_1", "T1_Dominance_1", "Rejection_Essay", "Rejection_Timer_First_Click", "Rejection_Timer_Last_Click", "Rejection_Timer_Page_Submit", "Rejection_Timer_Click_Count", "RPG_Timer_First_Click", "RPG_Timer_Last_Click", "RPG_Timer_Page_Submit", "RPG_Timer_Click_Count", "Game_Code_HH", "Game_Code_HL", "Game_Code_LH", "Game_Code_LL", "T2_Heart_1", "T2_Valence_1", "T2_Arousal_1", "T2_Dominance_1", "Interact_with_NPC", "Most_Close", "Most_Close_6_TEXT", "IOS", "Single_Immersion", "OTF_Social_World_1", "OTF_Social_World_2", "OTF_Social_World_3", "OTF_Social_World_4", "enjoyment_1", "enjoyment_2", "enjoyment_3R", "enjoyment_4", "enjoyment_5", "PC_Identification_1", "PC_Identification_2", "PC_Identification_3", "PC_Identification_4", "PC_Identification_5", "PC_Identification_6", "Attention_Rejection", "Attention_Sashu", "Attention_Story", "Study_Purpose", "Share_Anything", "Raffle_PC", "Raffle_Enemies", "id", "t_consent_submit", "t_generalInstructions_submit", "t_age_submit", "t_race_submit", "t_hispanic_submit", "t_relationship_submit", "t_gender_submit", "t_sexori_submit", "t_T1Heart_submit", "t_T1Valence_submit", "t_T1Arousal_submit", "t_T1Dominance_submit", "t_rejectionEssayIntro_submit", "t_rejectionEssay_submit", "t_RPGinst_submit", "t_RPGplay_submit", "t_T2Heart_submit", "t_T2Valence_submit", "t_T2Arousal_submit", "t_T2Dominance_submit", "t_intractCharacters_submit", "t_closestCharacter_submit", "t_IOS_submit", "t_PSI_submit", "t_singleImmersion_submit", "t_narrativeEngagement_submit", "t_otfSocialWorld_submit", "t_enjoyment_submit", "t_PCidentification_submit", "t_almostDone_submit", "t_attentionRejection_submit", "t_attentionSashu_submit", "t_attentionStory_submit", "t_studyPurpose_submit", "t_shareAnything_submit", "t_raffle_submit", "attention_rejection_correct", "attention_parasocial_correct", "attention_social_world_correct", "attention_all_correct", "parasocial", "social_world", "debug", "mobile", "raffle_all_correct", "OTF_Social_World", "PC_Identification", "Enjoyment", "Gender_Identity_3GP", "Gender_Identity_2GP_EC", "Race_6GP", "parasocial_MC_group", "parasocial_EC", "social_world_EC"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "StartDate",
      "description": "Start Date",
      "@type": "propertyValue"
    },
    {
      "name": "EndDate",
      "description": "End Date",
      "@type": "propertyValue"
    },
    {
      "name": "Status",
      "description": "Response Type",
      "value": "0. IP Address,\n1. Survey Preview,\n2. Survey Test,\n4. Imported,\n8. Spam,\n9. Survey Preview Spam,\n12. Imported Spam,\n16. Offline,\n17. Offline Survey Preview,\n32. EX,\n40. EX Spam,\n48. EX Offline",
      "maxValue": 48,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Progress",
      "description": "Progress",
      "@type": "propertyValue"
    },
    {
      "name": "Duration__in_seconds_",
      "description": "Duration (in seconds)",
      "@type": "propertyValue"
    },
    {
      "name": "Finished",
      "description": "Finished",
      "value": "0. False,\n1. True",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "RecordedDate",
      "description": "Recorded Date",
      "@type": "propertyValue"
    },
    {
      "name": "ResponseId",
      "description": "Response ID",
      "@type": "propertyValue"
    },
    {
      "name": "DistributionChannel",
      "description": "Distribution Channel",
      "@type": "propertyValue"
    },
    {
      "name": "UserLanguage",
      "description": "User Language",
      "@type": "propertyValue"
    },
    {
      "name": "Q_RecaptchaScore",
      "description": "Q_RecaptchaScore",
      "@type": "propertyValue"
    },
    {
      "name": "Age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "Race",
      "@type": "propertyValue"
    },
    {
      "name": "Race_1",
      "description": "Race - Selected Choice Native American",
      "value": "1. Native American",
      "@type": "propertyValue"
    },
    {
      "name": "Race_2",
      "description": "Race - Selected Choice Black/African-American",
      "value": "1. Black/African-American",
      "@type": "propertyValue"
    },
    {
      "name": "Race_3",
      "description": "Race - Selected Choice White",
      "value": "1. White",
      "@type": "propertyValue"
    },
    {
      "name": "Race_4",
      "description": "Race - Selected Choice Asian",
      "value": "1. Asian",
      "@type": "propertyValue"
    },
    {
      "name": "Race_5",
      "description": "Race - Selected Choice Pacific Islander",
      "value": "1. Pacific Islander",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6",
      "description": "Race - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6_TEXT",
      "description": "Race - Prefer to self-describe - Text",
      "value": "1. ,\n2. Ashkenazi Jewish,\n3. Chinese,\n4. Hispanic,\n5. Hispanic/Latino,\n6. Jordanian,\n7. Latina,\n8. Latino,\n9. Latino/Latinx/Hispanic,\n10. Middle eastern,\n11. Middle Eastern,\n12. My parents are from Central America but I was born in the U.S.",
      "@type": "propertyValue"
    },
    {
      "name": "Hispanic",
      "description": "Hispanic",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship",
      "description": "Relationship Status - Selected Choice",
      "value": "1. Single—not interested in dating,\n2. Single—interested in dating,\n3. Dating Casually,\n4. Dating Exclusively,\n5. Engaged,\n6. Married,\n7. Other (specify):",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_7_TEXT",
      "description": "Relationship Status - Other (specify): - Text",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_1",
      "description": "Gender - Selected Choice Male",
      "value": "1. Male",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_2",
      "description": "Gender - Selected Choice Female",
      "value": "1. Female",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_8",
      "description": "Gender - Selected Choice Nonbinary",
      "value": "1. Nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_6",
      "description": "Gender - Selected Choice Unsure",
      "value": "1. Unsure",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7",
      "description": "Gender - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7_TEXT",
      "description": "Gender - Prefer to self-describe - Text",
      "value": "1. ,\n2. Demigirl",
      "@type": "propertyValue"
    },
    {
      "name": "Sexori",
      "description": "Sexual Orientation - Selected Choice",
      "value": "1. Heterosexual,\n2. Gay/lesbian,\n3. Bisexual,\n8. Asexual,\n9. Pansexual,\n5. Unsure,\n6. Prefer to self-describe",
      "maxValue": 9,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Sexori_6_TEXT",
      "description": "Sexual Orientation - Prefer to self-describe - Text",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Heart_1",
      "description": "T1 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Valence_1",
      "description": "T1 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Arousal_1",
      "description": "T1 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Dominance_1",
      "description": "T1 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Essay",
      "description": "Write about a time you felt rejected by a close other",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_HH",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_HL",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_LH",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_LL",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Heart_1",
      "description": "T2 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Valence_1",
      "description": "T2 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Arousal_1",
      "description": "T2 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Dominance_1",
      "description": "T2 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Interact_with_NPC",
      "description": "Did you interact with NPCs?",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Most_Close",
      "description": "Who did you feel close to? - Selected Choice",
      "value": "1. Sashu,\n2. Grandkid,\n3. Elder,\n4. Tenkeisei,\n5. Mother,\n6. Other (please specify)",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Most_Close_6_TEXT",
      "description": "Who did you feel close to? - Other (please specify) - Text",
      "@type": "propertyValue"
    },
    {
      "name": "IOS",
      "description": "IOS",
      "value": "0. 0,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Single_Immersion",
      "description": "While playing the game, I felt completely immersed.",
      "value": "-3. Strongly disagree  -3,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. Strongly agree  3",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_1",
      "description": "OTF Social World - The video game presented stories that I immersed myself in",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_2",
      "description": "OTF Social World - The video game presented another social world where I felt like I belonged",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_3",
      "description": "OTF Social World - The video game had a social narrative that told an engaging story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_4",
      "description": "OTF Social World - I found myself getting “lost” in the game’s story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_1",
      "description": "Enjoyment - I think the game was fun.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_2",
      "description": "Enjoyment - I enjoyed playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_3R",
      "description": "Enjoyment - I felt bored while playing the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_4",
      "description": "Enjoyment - I am likely to recommend this game to others.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_5",
      "description": "Enjoyment - If given the chance, I want to play this game again.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_1",
      "description": "PCI - My character was like me in many ways",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_2",
      "description": "PCI - My character resembled me",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_3",
      "description": "PCI - I identified with my character",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_4",
      "description": "PCI - My character was an extension of myself",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_5",
      "description": "PCI - My character was similar to me",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_6",
      "description": "PCI - I resembled my character",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Rejection",
      "description": "What did you write in the first essay?",
      "value": "1. about a time I felt rejected,\n2. about a time I felt accepted,\n3. about my morning yesterday",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Sashu",
      "description": "Who was the NPC",
      "value": "1. Sashu,\n2. Akiko,\n3. None—I did not see any non-player character who followed me throughout the game",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Story",
      "description": "What was the story that best represented the game you played?",
      "value": "1. Higra answered the emperor's call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end,\n2. Higra prepared a special dish for grandma's birthday,\n3. Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Study_Purpose",
      "description": "Did you wonder about the purposes?",
      "@type": "propertyValue"
    },
    {
      "name": "Share_Anything",
      "description": "Is there anything you'd like to share?",
      "@type": "propertyValue"
    },
    {
      "name": "Raffle_PC",
      "description": "Who was the player character?",
      "value": "1. Higra,\n2. Sashu,\n3. Elder",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Raffle_Enemies",
      "description": "What were the names of the enemies that you were fighting against?",
      "value": "1. Ekishin and Gakis,\n2. Dragon and Lizard,\n3. Finch and Elliot",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "id",
      "description": "id",
      "@type": "propertyValue"
    },
    {
      "name": "t_consent_submit",
      "description": "t_consent_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_generalInstructions_submit",
      "description": "t_generalInstructions_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_age_submit",
      "description": "t_age_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_race_submit",
      "description": "t_race_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_hispanic_submit",
      "description": "t_hispanic_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_relationship_submit",
      "description": "t_relationship_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_gender_submit",
      "description": "t_gender_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_sexori_submit",
      "description": "t_sexori_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Heart_submit",
      "description": "t_T1Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Valence_submit",
      "description": "t_T1Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Arousal_submit",
      "description": "t_T1Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Dominance_submit",
      "description": "t_T1Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssayIntro_submit",
      "description": "t_rejectionEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssay_submit",
      "description": "t_rejectionEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_RPGinst_submit",
      "description": "t_RPGinst_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_RPGplay_submit",
      "description": "t_RPGplay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Heart_submit",
      "description": "t_T2Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Valence_submit",
      "description": "t_T2Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Arousal_submit",
      "description": "t_T2Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Dominance_submit",
      "description": "t_T2Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_intractCharacters_submit",
      "description": "t_intractCharacters_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_closestCharacter_submit",
      "description": "t_closestCharacter_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_IOS_submit",
      "description": "t_IOS_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PSI_submit",
      "description": "t_PSI_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_singleImmersion_submit",
      "description": "t_singleImmersion_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_narrativeEngagement_submit",
      "description": "t_narrativeEngagement_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_otfSocialWorld_submit",
      "description": "t_otfSocialWorld_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_enjoyment_submit",
      "description": "t_enjoyment_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PCidentification_submit",
      "description": "t_PCidentification_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_almostDone_submit",
      "description": "t_almostDone_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionRejection_submit",
      "description": "t_attentionRejection_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionSashu_submit",
      "description": "t_attentionSashu_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionStory_submit",
      "description": "t_attentionStory_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_studyPurpose_submit",
      "description": "t_studyPurpose_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_shareAnything_submit",
      "description": "t_shareAnything_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_raffle_submit",
      "description": "t_raffle_submit",
      "@type": "propertyValue"
    },
    {
      "name": "attention_rejection_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_parasocial_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_social_world_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial",
      "@type": "propertyValue"
    },
    {
      "name": "social_world",
      "@type": "propertyValue"
    },
    {
      "name": "debug",
      "description": "debug",
      "@type": "propertyValue"
    },
    {
      "name": "mobile",
      "description": "mobile",
      "@type": "propertyValue"
    },
    {
      "name": "raffle_all_correct",
      "description": "raffle_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World",
      "description": "4 OTF_Social_World items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification",
      "description": "6 PC_Identification items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment",
      "description": "5 enjoyment items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_3GP",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_2GP_EC",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6GP",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_MC_group",
      "value": "1. No Interaction with NPC,\n2. No Parasocial Relationship with NPC,\n3. Formed Parasocial Relationship with NPC",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_EC",
      "@type": "propertyValue"
    },
    {
      "name": "social_world_EC",
      "@type": "propertyValue"
    }
  ]
}`

# Save the codebook summary information as csv
s3_codebook_tibble <- codebook_table(s3_df)

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

write_csv(s3_codebook_tibble,
          here("codebooks", "Study 3 - Codebook Table.csv"))